grant

Modulation of the OCD neural network by conventional treatment

Organization UNIVERSITY OF ROCHESTERLocation ROCHESTER, UNITED STATESPosted 1 Jun 2015Deadline 31 Jan 2027
NIHUS FederalResearch GrantFY2025AffectAfter CareAfter-TreatmentAftercareAnalgesic ManagementAnisotropyAnteriorBehaviorBehavioralBrainBrain Nervous SystemCell Communication and SignalingCell SignalingCentral LobeClinicalClinical assessmentsCorpus CallosumCorpus CallosumsCorpus StriatumCorpus striatum structureCuesDWI (diffusion weighted imaging)DWI-MRIDataData CollectionDevicesDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingDimensionsEarly treatmentEncephalonExtremitiesFiberFunctional MRIFunctional Magnetic Resonance ImagingFundingGoalsHospitalsIndividualInsulaInsula of ReilInternal CapsuleInterventionIntracellular Communication and SignalingIsland of ReilLimb structureLimbsLinkMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMeasuresMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMedication ManagementNIMHNMR ImagingNMR TomographyNational Institute of Mental HealthNeuritesNon-TrunkNuclear Magnetic Resonance ImagingOutcomeParticipantPatternPerformancePharmacologic ManagementPhasePrediction of Response to TherapyPrevention therapyProbabilityRadialRadiusReportingResidential TreatmentRewardsSamplingSerial Magnetic Resonance ImagingSeveritiesSignal TransductionSignal Transduction SystemsSignalingStriate BodyStriatumStructureSymptomsTestingTherapeuticTimeUncertaintyVariantVariationVisitZeugmatographybehavioral impairmentbiological signal transductionburden of diseaseburden of illnessclinical heterogeneityconventional therapyconventional treatmentdMRIdensitydiffusion tensor imagingdigital phenotypingdisease burdendoubtearly therapyefficacious therapyefficacious treatmentexperiencefMRIflexibilityflexibleimaging biomarkerimaging markerimaging-based biological markerimaging-based biomarkerimaging-based markerimpaired behaviorindexingmedication therapy managementmemberneural circuitneural circuitryneural networkneurocircuitrypost treatmentpredict therapeutic responsepredict therapy responsepsychopharmacologicpsychopharmacologicalresidential careresponseserial MRIstandard of carestriatalsynaptic circuitsynaptic circuitrytherapy predictiontooltraittreatment predictiontreatment response prediction
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Full Description

PROJECT SUMMARY/ABSTRACT
McLean Hospital Project 4

The main goal of the proposed project, entitled “Modulation of the OCD neural network by conventional

treatment,” is to study how conventional interventions for severe OCD – intensive exposure and response

prevention (ERP) therapy and standard of care medication management – affect the putative OCDnet to further

our understanding of how commonly available, efficacious treatments for OCD impact neural circuits involved in

avoidance and aversive uncertainty. To achieve this goal, P4 will identify abnormalities in the vlPFC, rACC,

insula, dACC, OFC and rostral striatum that track with performance on the PAAT and clinical symptom reports

in individuals with OCD as they receive intensive treatment and undergo changes in illness burden over time.

The project will follow 95 individuals with OCD using intensive longitudinal assessment of brain and behavior

over the typical ~8wk treatment course. P4 will build on our group’s operational experience performing serial

MRI (functional and structural) and detailed serial clinical assessments in OCD, and our toolkit for intensive

longitudinal assessment, currently deployed in other NIMH-funded data collection efforts and developed with

members of Core C, to identify changes in the OCDnet, persistent avoidance (as measured on PAAT and with

exploratory device-based measures), and clinical changes in OCD. Three sets of comprehensive study visits

(before, during, and after treatment) with MRI and clinical assessments will provide illness trajectory information

for probing relationships between changing constructs at a coarse timescale, complemented by low-burden,

digital phenotyping to capture variation at intermediate and finer time scales. Elucidating the ways in which the

putative OCDnet changes in relation to changes in clinical and therapeutic parameters will provide targets for

new interventions for OCD and help understand how and in which individuals currently available treatments

achieve their optimal therapeutic benefit.

Grant Number: 5P50MH106435-09
NIH Institute/Center: NIH

Principal Investigator: JUSTIN BAKER

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